25 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Denmark
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well as experience in automated fabrication and mechanical characterization. A solid background in modelling and system identification is essential, with particular emphasis on data-driven and machine-learning–based
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
strengthen or add to our competences. We encourage interested candidates to explore the section’s website at https://acp.sdu.dk/ and the SustainAI group’s website https://sustainai.sdu.dk for more
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
with core computer science or AI, and must be able to teach computer science courses at the bachelor and master levels. The ACP section Successful applicants will join the section of Artificial
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mechanics, vibrations, and their active control, as well as machine elements and design optimization. The section has a scientific staff of about 25 people and 20 PhD students. The research rests
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are therefore essential. In addition the assistant or associate professor must work in continuation of the projects https://digitalcurriculum.au.dk/ The assistant or associate professor is expected to publish
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Molecular Biology, University of Southern Denmark, Odense, Denmark The position is for 3 years and is available from February 1, 2026. Role and Responsibilities Use protein design concepts and deep-learning
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, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline
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academic colleagues and contributing to didactic development are therefore essential. In addition the assistant professorship or associate professor must work in continuation of the projects https
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materials mechanics, vibrations, and their active control, as well as machine elements and design optimization. The section has a scientific staff of about 25 people and 20 PhD students. The research rests
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employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning